Schwartz Jessica, Elias Jonathan, Slater Cody, Cato Kenrick, Rossetti Sarah Collins
Columbia University School of Nursing, New York, NY.
Columbia University Department of Biomedical Informatics, New York, NY.
AMIA Annu Symp Proc. 2020 Mar 4;2019:1187-1196. eCollection 2019.
Documentation burden has become an increasing concern as the prevalence of electronic health records (EHRs) has grown. The implementation of a new EHR is an opportunity to measure and improve documentation burden, as well as assess the role of the EHR in clinician workflow. Time-motion observation is the preferred method for evaluating workflow. In this study, we developed and tested the reliability of an interprofessional taxonomy for use in time-motion observation of nursing and physician workflow before and after a new EHR is implemented at a large academic medical center. Inter-observer reliability assessment sessions were conducted while observing both nurses and physicians. Four out of five observers achieved reliability in an average of 5.75 sessions. Our developed taxonomy demonstrated to be reliable for conducting workflow evaluation of both nurses and physicians, with a focus on time and tasks in the EHR.
随着电子健康记录（EHR）的普及，文档负担已成为一个日益受到关注的问题。实施新的电子健康记录是衡量和减轻文档负担的契机，同时也能评估电子健康记录在临床工作流程中的作用。时间动作观察是评估工作流程的首选方法。在本研究中，我们开发并测试了一种跨专业分类法的可靠性，该分类法用于在一家大型学术医疗中心实施新的电子健康记录之前和之后对护理和医生工作流程进行时间动作观察。在观察护士和医生时进行了观察者间可靠性评估会议。五名观察者中有四名平均在5.75次会议中达到了可靠性。我们开发的分类法被证明对护士和医生的工作流程评估是可靠的，重点关注电子健康记录中的时间和任务。
